Hyers-Ulam-Rassias Stability for Functional Equation in Neutrosophic Normed Spaces

M.; A.N.; V.; R.

doi:https://doi.org/10.54216/IJNS.180111

International Journal of Artificial Intelligence and Education Technology | 2022

The Effect of Different Navigation Style in a Three-Dimensional Learning Environment on Developing the Skills of Producing Stereoscopic Learning Elements Among Graduate Students

The aim of the current research is to develop the skills of stereoscopic learning elements among graduate students. This research belongs to the category of development research that uses some descriptive studies methods (descriptive survey, systems development) in the phase of study, analysis, design and experimental approach when measuring the impact of the independent variable of research on the dependent variable. In the evaluation stage, then applying the research tools (achievement test - note card - product evaluation card) before and after on an intentional sample of (30) graduate students - full-time diploma - Mansoura University, they were divided into two experimental groups, each group (15) students , The first experimental group uses the linear sailing pattern, and the second experimental group uses the grid pattern, and the training was conducted in a three-dimensional learning environment, and the research results concluded that the grid sailing pattern is the most influential pattern on the production of stereoscopic learning elements.

groups

Elsayed Mohsen mail -

Abdalall Abdalla mail -

Ismail Mohammed mail

link https://doi.org/10.54216/IJAIET.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2022

On Neutrosophic Generalized Semi Generalized Closed Sets

The article considers a new generalization of closed sets in neutrosophic topological space. This generalization is called Neutrosophic gsg-closed set. Moreover, we discuss its essential features in neutrosophic topological spaces. Furthermore, we extend the research by displaying new related definitions such as neutrosophic gsg-closure and neutrosophic gsg-interior and debating their powerful characterizations and relationships.

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Qays Hatem Imran mail -

Ali H. M. Al-Obaidi mail -

Florentin Smarandache mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.18030101

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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International Journal of Artificial Intelligence and Education Technology | 2022

A Novel Approach to Detect Coronavirus Based on Lung x-ray Image and Convolutional Neural Networks

The coronavirus has become a global crisis in recent months. The virus has disrupted or shut down many social, economic, sports, scientific, etc. activities. In addition to the medical importance of this Disease, its rapid and accurate diagnosis is an important need. In this study, we proposed a novel method to detect coronavirus using machine learning and classification algorithms based on lung images. In general, the method consists of two steps. At the first step, a convolutional neural network is trained with a data set of lung images that determine whether a viral infection exists or not. In the second step, another network is used to detect if the existence of viral infection is considered coronavirus or not. Experimental tests have been conducted that show the correct diagnosis can be made with 95.8%.

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Huda Mubarak Ismail mail -

Pedram Salehpour mail -

Seyed Hadi Aghdasi Alamdari mail

link https://doi.org/10.54216/IJAIET.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Cybersecurity and Information Management | 2022

An Intelligent Spatial Military Intrusion Detection using Reactive Mobility Unmanned Vehicles Based on IoT and metaheuristic Optimization Algorithm

One of the most significant uses of the Internet of Things is military infiltration detection (IoT). Autonomous drones play a major role in IoT-based vulnerability scanning (UVs). By relocating UVs remotely, this work introduces a new algorithm called the Moth-Flame Optimization Algorithm (MFO). In particular, MFO is used to proactively manage UVs under various scenarios and under different intrusion-covering situations. According to actual studies, the suggested algorithm is both profitable and efficient.

groups

Lobna Osman mail

link https://doi.org/10.54216/JCIM.090203

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

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Fusion: Practice and Applications | 2022

Integrated Decision Making Aided Model to Estimate the Risks of the Excavation System

For the last years, a bibliometric examination of risk evaluation approaches for excavating systems has been presented in this publication. To develop an early warning system, it's essential to compile a list of possible dangers that can arise during excavation. Failure Mode and Effects Analysis (FMEA) is a useful approach. Traditional risk assessment techniques have been criticized for a variety of reasons, including a lack of correlation between risk variables, difficult arithmetic operations, and a lack of correctness and preciseness in the evaluations. A unique method of risk analysis in FMEA that uses digraphs and matrix approaches underneath the Pythagorean fuzzy scenario is presented in this research. To get started, we'll defy Pythagorean fuzzy numbers in a triangle form. Both language terminology and risk factor data and information are expressed using them (inclusive of occurrence, severity, and detection). The Pythagorean fuzzy digraph thus captures the interrelationships between the risk variables and the relative importance of each one, as seen in the figure. After that, we create a Pythagorean fuzzy test indicated for each identified failure mode and compute risk priority indexes to determine risk priorities. Using a metro station excavation as a case study, the accuracy of risk assessments in excavation is improved.

groups

Lobna Osman mail

link https://doi.org/10.54216/FPA.070205

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2021

An Integrated Spherical Fuzzy Approach for Global Supplier Selection

Political-economic liberalization, modern communication technologies, and low-cost transportation have prompted companies to outsource an increasing amount of commercial activities to other countries. This exporting has often resulted in complex supply chain configurations. Considering that human and ecological regulation in these countries is often insufficient or poorly enforced, stakeholders place the responsibility of ensuring socially and environmentally sustainable product specifications across their supply chains on firms with particular emphasis. This research presents a combined fuzzy spherical AHP-WASPAS method basis for environmental global procurement planning that takes subsupplier sustainability considerations into account. From the present study, standards (containing risk considerations) were devised and then improved with the assistance of experts in the field and case decision-makers in order to avoid literature bias. Next, providers and semi were evaluated collectively using the agreed sustainability criteria. In previous studies, this methodology proved unsatisfactory. The problem is rectified in two stages, as shown below. In the first phase, fuzzy AHP is used to define parameter weights for inclusive sustainable supplier evaluation, so in the second phase, fuzzy WASPAS is employed to assess supplier performance in relation to evaluation criteria. Economic factors held the highest weight among some of the five ecological sustainability (financial, health, environment, and social), whereas worldwide risk assessments carried the least. This research suggests that global threats are not yet important selection factors for suppliers. Moreover, the proposed framework may help pave the way for the creation of managerial decision-making tools to aid firms in tackling sustainability risks that occur farther downstream in their supply chains. When major organizations are under intense scrutiny from their stakeholders, these vital tools are extremely important.

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Abedallah Z. Abualkishik mail -

Rasha Almajed mail -

Amer Ibrahim mail

link https://doi.org/10.54216/FPA.060105

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2022

Evaluating Smart Agricultural Production Efficiency using Fuzzy MARCOS method

Agricultural production efficiency can be improved, the environment can be improved, and sustainable agricultural development can be achieved with smart agriculture. Several nations and businesses are devoted to developing or introducing innovative agricultural practices and technologies. As long as conventional agricultural management systems are in place, it's going to be tough for businesses to choose and apply smart agriculture solutions without running into stiff competition. As a result, businesses must weigh their options and choose a workable solution ahead of time. There is a novel fuzzy multi-criteria decision model presented in this research that may be used to evaluate the agriculture solution. We created fuzzy MARCOS, which uses the COmpromise Solution's Measurement Alternatives and Ranking Method (fuzzy MARCOS). Triangular fuzzy numbers (TFNs) linguistic dimension was also developed. According to this technique, the criteria weights used to evaluate the road network parts were calculated. Consequently, it is clear that a certain part of agriculture is affected by the study results.

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Abedallah Zaid Abualkishik mail -

Rasha Almajed mail -

William Thompson mail

link https://doi.org/10.54216/JNFS.030101

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

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Journal of Intelligent Systems and Internet of Things | 2021

The Application of Fuzzy Collaborative Intelligence to Detect COVID-19 Minor Symptoms

Coronavirus Illness 2019 (COVID-19), a rare disease carried by a coronavirus known as a novel coronavirus, is now posing a danger to the whole planet. Despite the rising number of cases, there is no commercially available vaccination for COVID-19. The moderate symptoms of COVID-19 illness, on the other hand, may be treated with a variety of antiviral treatments. Even yet, selecting the optimum antiviral medication to manage the moderate symptom of COVID-19 is a difficult and ambiguous option. Selecting a drug might be challenging. Fuzzy collaborative intelligence (FCI) was presented in this research as a solution to solve the difficulty of evaluating the appropriateness of a drug selection. In the FCI method, the fuzzy inverse of column sum, partial consensus fuzzy intersection, and fuzzy procedure for order preference by similarity to the ideal solution.  To show the practicality and usefulness of the created approach in real-world applications, a case study of medication choice for COVID-19 illness is being investigated.

groups

Abedallah Zaid Abualkishik mail

link https://doi.org/10.54216/JISIoT.050205

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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Fusion: Practice and Applications | 2021

An innovative multi-criteria decision-making framework for assessing India's airport operating efficiency

Global air transport operations have risen dramatically, which has led to new airport developments, requiring an in-depth effectiveness study of these investment projects, as is the case here. 6 Indian civil airports' operating efficiency between 2015 and 2018 are examined in this research. These sources were evaluated and assessed using an integrated Shannon's entropy MCDM technique. Using Shannon's entropy approach and the fuzzy WSM method, the weights of decision criteria are determined, and airports are prioritized. As a result, it is capable of dealing with the trepidation and uncertainty that accompany the subjective appraisal of input and outcome components. The findings also show that airports in touristic locations are more efficient than those in less popular places. The more convenient the airport is to the city Centre, the more passengers arrive, and the more money the airport makes. As a result, efficiency ratings are influenced by both of these elements. Airport operators and policymakers will benefit from the study's innovative efficiency analysis approach.

groups

Surinder Kaur mail -

Javalkar D. Kumar mail -

Gopal Chaudhary mail

link https://doi.org/10.54216/FPA.040204

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2022